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      ThinkGear AM - Brainwave Sensor
      • ThinkGear AM - Brainwave Sensor
      • ThinkGear AM - Brainwave Sensor
      • ThinkGear AM - Brainwave Sensor
      • ThinkGear AM - Brainwave Sensor

      ThinkGear AM - Brainwave Sensor

      SKU SEN04281M
      NeuroSky ThinkGear ASIC Module(AM) is the world’s most popular EEG technology
      $49.00
      DISCONTINUED
      This item is no longer available.
      Description
      NeuroSky ThinkGear ASIC Module(AM) is the world’s most popular EEG technology. Together with a dry electrode, it senses the faint signal from the human brain, filters out extraneous noise and electrical interference and converts to digital to power games, apps, toys, and research.
       
      The embedded ASIC within the TGAM is truly a system on chip; programmed with NeuroSky eSense, A/D, amplification off-head detection and noise filtering for EMG and 50/60Hz AC.
       
      Check here to know how it work.
       
      Features
      • Direct connect to dry electrode
      • One EEG channel + Reference + Ground
      • Extremely low-level signal detection
      • Advanced filter with high noise immunity
      • RAW EEG at 512Hz
      eSense Brainwave Patterns
      • RAW EEG Signal
      • Attention
      • Meditation
      • Eye Blink
      • Delta, Theta, low alpha, high alpha, low beta, high beta and gamma waves
      Specifications
      • 512Hz sampling rate
      • 3-100Hz frequency range
      • ESD Protection: 4kV Contact Discharge; 8kV Air
      • Max Power Consumption: 15mA @ 3.3V • Operating voltage 2.97 ~3.63V
      • UART (Serial):- 1200, 9600, 57600 baud- 8-bits- No parity
      • 1 stop bit
      Dimensions
      • Size: 2.79cm x 1.52cm x 0.25cm
      • Weight (Max) 130mg
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      Questions and Answers
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      0

      Hi when will have in stock?

      on Oct 19,2016
      Replyupvote ()
      <p>Sorry this product has shut down.Thanks for your attention.</p>
      on Oct 20,2016 10:46 AM
      Replyupvote ()
      <p>May I ask why this product has been shutted down? I really like buying in SeeedStudio and I don't see any other brain sensor here.. Thanks.</p>
      on Oct 20,2016 10:50 AM
      Replyupvote ()
      <p>Maybe you can leave a wish on the Wish board: <a href="http://support.seeedstudio.com/forums/243707-my-seeed-idea" rel="nofollow">http://support.seeedstudio.com...</a> , we'll make it if it's passed by product manager. Good luck.</p>
      on Oct 20,2016 10:50 AM
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      0

      I looked at the data sheet, and I do not see any information about the specific format of the data that is sent out via the UART. Is there anywhere that this can be found? Obviously, this would be a very practical concern if someone were trying to buil

      on Oct 19,2016
      Replyupvote ()
      <p><a href="http://developer.neurosky.com/" rel="nofollow">http://developer.neurosky.com/</a> should have the documentation and example code. They've reorganized stuff since I got the SDK so can't give you a direct link.</p><p><a href="https://github.com/
      on Oct 20,2016 10:46 AM
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      0

      *Is there a schematic available?
      *Or, if no schematic, what is the chip called? (i.e., can it be purchased separately/is there a datasheet)

      on Oct 19,2016
      Replyupvote ()
      <p>Hi, this is not a open source hardware, so we do not also have its schematic, as what we know, the chip is designed by NeuroSky, maybe you could contact them for more details.</p>
      on Oct 20,2016 10:45 AM
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      0

      How many TGAM modules this product contains?

      on Oct 19,2016
      Replyupvote ()
      <p>Hello, only one TGAM module this product contains.</p>
      on Oct 20,2016 10:45 AM
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      0

      Is the module compatible to ANY dry electrode?

      Won't Seeedstudio also sell the appropriate electrodes? (so we can purchase in bundle).

      Does regular adhesive ECG electrodes would work as electrodes for this module ?

      []'s all

      on Oct 19,2016
      Replyupvote ()
      <p>My solution: <a href="https://github.com/rambo/Arduino-Brain-Library/tree/master/tgam_breakout" rel="nofollow">https://github.com/rambo/Ardui...</a> (and these are "good" electrodes compared to what I have gotten this module to work with earlier), anyw
      on Oct 20,2016 10:46 AM
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      0

      How do you connect this to something?

      on Oct 19,2016
      Replyupvote ()
      <p>Arduino library (with my own improvements): <a href="https://github.com/rambo/Arduino-Brain-Library/tree/master/Brain" rel="nofollow">https://github.com/rambo/Ardui...</a> <br>Python library: <a href="https://github.com/groner/pythinkgear" rel="nofollo
      on Oct 20,2016 10:46 AM
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